What are fairness assessment frameworks in AI?
Fairness assessment frameworks are tools and methodologies used to evaluate and ensure fairness in AI systems.
Can you give me some examples of these frameworks?
Sure! Examples include the Fairness, Accountability, and Transparency (FAT) framework and the AI Fairness 360 toolkit.
How do these frameworks help in real-world applications?
They help identify biases in AI models, ensuring that decisions made by AI are equitable and just for all users.
What challenges do organizations face when implementing these frameworks?
Organizations often struggle with data quality, understanding fairness metrics, and integrating these frameworks into existing processes.
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